The code changes in `aviation_parser.go` and `aviation_parser_test.go` add CNL message parsing logic to the `BodyParser` module. This allows for the correct extraction and parsing of CNL messages, including the category, aircraft ID, departure airport, and destination airport. This enhancement improves the overall functionality and accuracy of the code.
The code changes in `aviation_parser.go` modify the `NewBodyParser` constructor to accept a `body` parameter. This allows for the initialization of `BodyParser` instances with a specific body value, improving flexibility and testability. The `body` parameter is now stored in the `body` field of the `BodyParser` struct. This change enhances the overall functionality and maintainability of the code.
The code changes in `pattern_test.go` update the ARR body parsing logic. The message body parsing now correctly handles ARR bodies with a different pattern format. This ensures accurate extraction of data based on patterns and improves the overall functionality of the code.
group of more than one alternative in fpl
The code changes in `aviation_parser.go` and `aviation_parser_test.go` rename the `clean` function to `cleanMessage` to improve clarity and consistency in function naming. This change ensures that the function's purpose is more accurately reflected in its name, making it easier for developers to understand and maintain the code.
The code changes in `pattern_test.go` update the ARR body parsing logic. The message body parsing now correctly handles ARR bodies with a different pattern format. This ensures accurate extraction of data based on patterns and improves the overall functionality of the code.
The code changes in config.dev.toml and sub.go update the configuration and message handling for integrating with Hasura. The config.dev.toml file now includes a new section for Hasura configuration, specifying the endpoint and secret. In sub.go, the UUID field is set to the UUID of the received message, ensuring proper tracking of parsed messages. This refactor enables seamless integration with Hasura and improves the functionality of the code.
The code changes in `aviation_parser_test.go` update the ARR body parsing logic. The `ParseHeader` function now correctly handles ARR bodies with optional time components. This ensures accurate parsing of ARR bodies and improves the overall functionality of the aviation parser.
The code changes in `aviation_parser_test.go` update the ARR body parsing logic. The `ParseHeader` function now correctly handles ARR bodies with optional time components. This ensures accurate parsing of ARR bodies and improves the overall functionality of the aviation parser.
The code changes in `config.go` update the regular expression pattern for parsing ARR bodies. The previous pattern did not account for the optional time component in the body. The updated pattern now correctly captures the category, number, SSR, departure, arrival, and time components of the ARR body. This refactor ensures accurate parsing of ARR bodies and improves the overall functionality of the aviation parser.
The code changes in `aviation_parser_test.go` update the AFTN message parsing logic. The `ParseHeader` function now returns an additional error value, allowing for better error handling. The tests have been updated to reflect this change, ensuring that the parsing function handles errors correctly. This refactor improves the reliability and maintainability of the AFTN message parsing functionality.
The code changes in `aviation_parser_test.go` update the AFTN message parsing logic. The `ParseHeader` function now returns an additional error value, allowing for better error handling. The tests have been updated to reflect this change, ensuring that the parsing function handles errors correctly. This refactor improves the reliability and maintainability of the AFTN message parsing functionality.
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